Recent developments show AI can automate most engineering tasks, but research remains partly human-driven, with implications for AI development timelines.
The Latest
Engineering Is Automated. Research Is the Residual.
Software engineering. The canonical case.
Empirical data shows a 40% drop in junior hiring, with senior engineers benefiting from AI augmentation, revealing a bifurcated impact in software engineering.
OpenEuroLLM. The third path.
European consortium OpenEuroLLM faces significant compute challenges as it advances toward first model delivery in July 2026, highlighting limits of pan-European AI efforts.
Mistral. The fourth path.
Mistral raises $830M, becomes Europe’s leading single-firm AI player, but still trails US models in reasoning capabilities amid ongoing strategic debates.
Minerva. The opposite path.
Italy’s Minerva LLM, trained from scratch on 2.5 trillion tokens, shows impressive performance but scores just 4.9% on Italian academic tests, raising questions about scale and investment.
The Forecast Is the Plan.
Major AI labs publicly commit to automating AI R&D by 2026, signaling a strategic shift that could reshape the industry and workforce.
AMÁLIA · The Three Hard Questions.
Portugal’s €5.5M AMÁLIA project is operational, but critical questions about openness, native data, and goals remain unanswered, impacting national AI strategy.
The Atlas. What the framework is.
The Post-Labor Transition Atlas is a new empirical framework analyzing AI’s impact on labor markets, policy, and structural alternatives as of 2026.
Fair-value appraisals for used GPUs and AI hardware
A new manual valuation method for used AI hardware aims to establish transparent market prices, helping brokers resolve pricing disputes.
Board packet generator for HOA managers
A new board packet generator for HOA managers is set to undergo initial testing, aiming to streamline meeting preparations and improve transparency.
